AIMC Topic: Out-of-Hospital Cardiac Arrest

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Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning.

Resuscitation Aug 12, 2024
UNLABELLED: Out-of-hospital cardiac arrest (OHCA) is a critical condition with low survival rates. In patients with a return of spontaneous circulation, brain injury is a leading cause of death. In this study, we propose an interpretable machine lear...
Humans Machine Learning Female Sweden ROC Curve Registries Cardiopulmonary Resuscitation Out-of-Hospital Cardiac Arrest Aged Male Middle Aged
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Analysis of Cerebral CT Based on Supervised Machine Learning as a Predictor of Outcome After Out-of-Hospital Cardiac Arrest.

Neurology Jun 10, 2024
BACKGROUND AND OBJECTIVES: In light of limited intensive care capacities and a lack of accurate prognostic tools to advise caregivers and family members responsibly, this study aims to determine whether automated cerebral CT (CCT) analysis allows pro...
Supervised Machine Learning Gray Matter Retrospective Studies Out-of-Hospital Cardiac Arrest Tomography, X-Ray Computed Female Middle Aged Humans Aged Cohort Studies Male Brain Prognosis
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Development of a Predictive Model for Survival Over Time in Patients With Out-of-Hospital Cardiac Arrest Using Ensemble-Based Machine Learning.

Computers, informatics, nursing : CIN May 1, 2024
As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has not been established. This study aimed to develop a model for identifying predictors of survival over time in patients with out-of-hospital cardiac arr...
Humans Aged Male Middle Aged Emergency Service, Hospital Machine Learning Republic of Korea Female Registries Survival Analysis Out-of-Hospital Cardiac Arrest
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Machine Learning Identifies Higher Survival Profile In Extracorporeal Cardiopulmonary Resuscitation.

Critical care medicine Mar 27, 2024
OBJECTIVES: Extracorporeal cardiopulmonary resuscitation (ECPR) has been shown to improve neurologically favorable survival in patients with refractory out-of-hospital cardiac arrest (OHCA) caused by shockable rhythms. Further refinement of patient s...
Extracorporeal Membrane Oxygenation Cardiopulmonary Resuscitation Out-of-Hospital Cardiac Arrest Male Middle Aged Adolescent Humans Machine Learning Retrospective Studies Young Adult Adult Female Aged
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Deep Learning Strategy for Sliding ECG Analysis during Cardiopulmonary Resuscitation: Influence of the Hands-Off Time on Accuracy.

Sensors (Basel, Switzerland) May 5, 2023
This study aims to present a novel deep learning algorithm for a sliding shock advisory decision during cardiopulmonary resuscitation (CPR) and its performance evaluation as a function of the cumulative hands-off time. We retrospectively used 13,570 ...
Cardiopulmonary Resuscitation Ventricular Fibrillation Out-of-Hospital Cardiac Arrest Deep Learning Electrocardiography Arrhythmias, Cardiac Algorithms Retrospective Studies Humans
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Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series.

Anaesthesia, critical care & pain medicine Dec 27, 2021
BACKGROUND: There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) clinical trajectories. We hypothesized that physiological time series (PTS) data recorded on the first day of intensive care would contribute significan...
Humans Adult Time Factors Out-of-Hospital Cardiac Arrest Machine Learning Prognosis Hospitalization
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The Use of Artificial Intelligence to Predict the On-Scene Return of Spontaneous Circulation in the Out-of-Hospital Setting: A Time to Do More for Cardiac Arrest?

Annals of emergency medicine Dec 1, 2021
Artificial Intelligence Hospitals Out-of-Hospital Cardiac Arrest Return of Spontaneous Circulation Humans
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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.

BioMed research international Sep 17, 2021
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA. The purpose of this study was to investigate whether a machine ...
Out-of-Hospital Cardiac Arrest Brain Humans Survival Analysis Predictive Value of Tests Female Sensitivity and Specificity Models, Cardiovascular Area Under Curve Machine Learning Aged Male Algorithms ROC Curve
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Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.

Journal of Korean medical science Jul 19, 2021
BACKGROUND: We performed this study to establish a prediction model for 1-year neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients who achieved return of spontaneous circulation (ROSC) immediately after ROSC using machine learning...
Registries Cardiopulmonary Resuscitation Heart Arrest Return of Spontaneous Circulation Survivors Out-of-Hospital Cardiac Arrest Middle Aged Treatment Outcome Emergency Medical Services Aged Humans Survival Rate Male Machine Learning Retrospective Studies Female
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Deep Neural Network Approach for Continuous ECG-Based Automated External Defibrillator Shock Advisory System During Cardiopulmonary Resuscitation.

Journal of the American Heart Association Mar 5, 2021
Background Because chest compressions induce artifacts in the ECG, current automated external defibrillators instruct the user to stop cardiopulmonary resuscitation (CPR) while an automated rhythm analysis is performed. It has been shown that minimiz...
Algorithms Deep Learning Electrocardiography Artifacts Cardiopulmonary Resuscitation Humans Defibrillators Neural Networks, Computer Out-of-Hospital Cardiac Arrest
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